Search (8 results, page 1 of 1)

  • × subject_ss:"Information storage and retrieval"
  1. Dominich, S.: Mathematical foundations of information retrieval (2001) 0.02
    0.019885626 = product of:
      0.029828439 = sum of:
        0.014402954 = weight(_text_:to in 1753) [ClassicSimilarity], result of:
          0.014402954 = score(doc=1753,freq=6.0), product of:
            0.08279609 = queryWeight, product of:
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.045541126 = queryNorm
            0.17395693 = fieldWeight in 1753, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1753)
        0.015425485 = product of:
          0.03085097 = sum of:
            0.03085097 = weight(_text_:22 in 1753) [ClassicSimilarity], result of:
              0.03085097 = score(doc=1753,freq=2.0), product of:
                0.15947726 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045541126 = queryNorm
                0.19345059 = fieldWeight in 1753, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1753)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    This book offers a comprehensive and consistent mathematical approach to information retrieval (IR) without which no implementation is possible, and sheds an entirely new light upon the structure of IR models. It contains the descriptions of all IR models in a unified formal style and language, along with examples for each, thus offering a comprehensive overview of them. The book also creates mathematical foundations and a consistent mathematical theory (including all mathematical results achieved so far) of IR as a stand-alone mathematical discipline, which thus can be read and taught independently. Also, the book contains all necessary mathematical knowledge on which IR relies, to help the reader avoid searching different sources. The book will be of interest to computer or information scientists, librarians, mathematicians, undergraduate students and researchers whose work involves information retrieval.
    Date
    22. 3.2008 12:26:32
  2. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.01
    0.011079149 = product of:
      0.016618723 = sum of:
        0.0058208844 = weight(_text_:to in 2752) [ClassicSimilarity], result of:
          0.0058208844 = score(doc=2752,freq=2.0), product of:
            0.08279609 = queryWeight, product of:
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.045541126 = queryNorm
            0.07030386 = fieldWeight in 2752, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.02734375 = fieldNorm(doc=2752)
        0.010797839 = product of:
          0.021595677 = sum of:
            0.021595677 = weight(_text_:22 in 2752) [ClassicSimilarity], result of:
              0.021595677 = score(doc=2752,freq=2.0), product of:
                0.15947726 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045541126 = queryNorm
                0.1354154 = fieldWeight in 2752, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=2752)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    The doctoral thesis of Tatiana Gossen formulates criteria and guidelines on how to design the user interfaces of search engines for children. In her work, the author identifies the conceptual challenges based on own and previous user studies and addresses the changing characteristics of the users by providing a means of adaptation. Additionally, a novel type of search result visualisation for children with cartoon style characters is developed taking children's preference for visual information into account.
    Date
    1. 2.2016 18:25:22
  3. Gartner, R.: Metadata : shaping knowledge from antiquity to the semantic web (2016) 0.01
    0.0073336246 = product of:
      0.022000873 = sum of:
        0.022000873 = weight(_text_:to in 731) [ClassicSimilarity], result of:
          0.022000873 = score(doc=731,freq=14.0), product of:
            0.08279609 = queryWeight, product of:
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.045541126 = queryNorm
            0.2657236 = fieldWeight in 731, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.0390625 = fieldNorm(doc=731)
      0.33333334 = coord(1/3)
    
    Abstract
    This book offers a comprehensive guide to the world of metadata, from its origins in the ancient cities of the Middle East, to the Semantic Web of today. The author takes us on a journey through the centuries-old history of metadata up to the modern world of crowdsourcing and Google, showing how metadata works and what it is made of. The author explores how it has been used ideologically and how it can never be objective. He argues how central it is to human cultures and the way they develop. Metadata: Shaping Knowledge from Antiquity to the Semantic Web is for all readers with an interest in how we humans organize our knowledge and why this is important. It is suitable for those new to the subject as well as those know its basics. It also makes an excellent introduction for students of information science and librarianship.
  4. Sakr, S.; Wylot, M.; Mutharaju, R.; Le-Phuoc, D.; Fundulaki, I.: Linked data : storing, querying, and reasoning (2018) 0.00
    0.0044349595 = product of:
      0.013304878 = sum of:
        0.013304878 = weight(_text_:to in 5329) [ClassicSimilarity], result of:
          0.013304878 = score(doc=5329,freq=8.0), product of:
            0.08279609 = queryWeight, product of:
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.045541126 = queryNorm
            0.16069452 = fieldWeight in 5329, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.03125 = fieldNorm(doc=5329)
      0.33333334 = coord(1/3)
    
    Abstract
    This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions. Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.
  5. Crestani, F.; Mizzaro, S.; Scagnetto, I,: Mobile information retrieval (2017) 0.00
    0.0039199875 = product of:
      0.011759962 = sum of:
        0.011759962 = weight(_text_:to in 4469) [ClassicSimilarity], result of:
          0.011759962 = score(doc=4469,freq=4.0), product of:
            0.08279609 = queryWeight, product of:
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.045541126 = queryNorm
            0.14203523 = fieldWeight in 4469, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4469)
      0.33333334 = coord(1/3)
    
    Abstract
    This book offers a helpful starting point in the scattered, rich, and complex body of literature on Mobile Information Retrieval (Mobile IR), reviewing more than 200 papers in nine chapters. Highlighting the most interesting and influential contributions that have appeared in recent years, it particularly focuses on both user interaction and techniques for the perception and use of context, which, taken together, shape much of today's research on Mobile IR. The book starts by addressing the differences between IR and Mobile IR, while also reviewing the foundations of Mobile IR research. It then examines the different kinds of documents, users, and information needs that can be found in Mobile IR, and which set it apart from standard IR. Next, it discusses the two important issues of user interfaces and context-awareness. In closing, it covers issues related to the evaluation of Mobile IR applications. Overall, the book offers a valuable tool, helping new and veteran researchers alike to navigate this exciting and highly dynamic area of research.
  6. Semantic keyword-based search on structured data sources : COST Action IC1302. Second International KEYSTONE Conference, IKC 2016, Cluj-Napoca, Romania, September 8-9, 2016, Revised Selected Papers (2017) 0.00
    0.0038407878 = product of:
      0.011522363 = sum of:
        0.011522363 = weight(_text_:to in 3479) [ClassicSimilarity], result of:
          0.011522363 = score(doc=3479,freq=6.0), product of:
            0.08279609 = queryWeight, product of:
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.045541126 = queryNorm
            0.13916555 = fieldWeight in 3479, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.03125 = fieldNorm(doc=3479)
      0.33333334 = coord(1/3)
    
    Content
    Inhalt: Retrieval, Crawling and Fusion of Entity-centric Data on the Web / Dietze, Stefan - Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics / Tudoran, Radu (et al.) - Experiments with Document Retrieval from Small Text Collections Using Latent Semantic Analysis or Term Similarity with Query Coordination and Automatic Relevance Feedback / Layfield, Colin (et al.) - Unsupervised Extraction of Conceptual Keyphrases from Abstracts / Ludwig, Philipp (et al.) - Back to the Sketch-Board: Integrating Keyword Search, Semantics, and Information Retrieval / Azzopardi, Joel (et al.) - Topic Detection in Multichannel Italian Newspapers / Po, Laura (et al.) - Random Walks Analysis on Graph Modelled Multimodal Collections / Sabetghadam, Serwah (et al.) - A Software Processing Chain for Evaluating Thesaurus Quality / Lacasta, Javier (et al.) - Comparison of Collaborative and Content-Based Automatic Recommendation Approaches in a Digital Library of Serbian PhD Dissertations / Azzopardi, Joel (et al.) - Keyword-Based Search on Bilingual Digital Libraries / Stankovic, Ranka (et al.) - Network-Enabled Keyword Extraction for Under-Resourced Languages / Beliga, Slobodan (et al.) - Making Sense of Citations / Koulouri, Xenia (et al.) - An Ontology-Based Approach to Information Retrieval / Mestrovic, Ana (et al.) - Game with a Purpose for Verification of Mappings Between Wikipedia and WordNet / Boinski, Tomasz - TB-Structure: Collective Intelligence for Exploratory Keyword Search / Terziyan, Vagan (et al.) - Using Natural Language to Search Linked Data / Rozinajová, Viera (et al.) - The Use of Semantics in the CrossCult H2020 Project / Bampatzia, Stavroula (et al.) Vgl. auch: http://www.keystone-cost.eu/ikc2016/program.php.
  7. Reasoning Web : Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (2017) 0.00
    0.0027718497 = product of:
      0.008315549 = sum of:
        0.008315549 = weight(_text_:to in 3934) [ClassicSimilarity], result of:
          0.008315549 = score(doc=3934,freq=2.0), product of:
            0.08279609 = queryWeight, product of:
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.045541126 = queryNorm
            0.10043408 = fieldWeight in 3934, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3934)
      0.33333334 = coord(1/3)
    
    Abstract
    This volume contains the lecture notes of the 13th Reasoning Web Summer School, RW 2017, held in London, UK, in July 2017. In 2017, the theme of the school was "Semantic Interoperability on the Web", which encompasses subjects such as data integration, open data management, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology-based dynamic systems. The papers of this volume focus on these topics and also address foundational reasoning techniques used in answer set programming and ontologies.
  8. Semantic applications (2018) 0.00
    0.0027718497 = product of:
      0.008315549 = sum of:
        0.008315549 = weight(_text_:to in 5204) [ClassicSimilarity], result of:
          0.008315549 = score(doc=5204,freq=2.0), product of:
            0.08279609 = queryWeight, product of:
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.045541126 = queryNorm
            0.10043408 = fieldWeight in 5204, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.818051 = idf(docFreq=19512, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5204)
      0.33333334 = coord(1/3)
    
    Abstract
    This book describes proven methodologies for developing semantic applications: software applications which explicitly or implicitly uses the semantics (i.e., the meaning) of a domain terminology in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use.

Types